AIMC Topic: Diagnosis, Computer-Assisted

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SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.

IEEE journal of biomedical and health informatics Feb 10, 2025
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to cardiovascular morbidity. Polysomnography, the standard diagnostic approach, faces challenges in accessibility and complexity, leading to underdiagno...
Humans Deep Learning Adolescent Child, Preschool Female Male Diagnosis, Computer-Assisted Sleep Apnea Syndromes Sleep Apnea, Obstructive Polysomnography Child Electrocardiography Signal Processing, Computer-Assisted
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Deep-learning-based diagnosis framework for ankle-brachial index defined peripheral arterial disease of lower extremity wound: Comparison with physicians.

Computer methods and programs in biomedicine Feb 6, 2025
BACKGROUND AND OBJECTIVE: Few studies have evaluated peripheral artery disease (PAD) in patients with lower extremity wounds by a convolutional neural network (CNN)-based deep learning algorithm. We aimed to establish a framework for PAD detection, p...
Peripheral Arterial Disease Ankle Brachial Index Deep Learning Lower Extremity Humans Female Male Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms Physicians
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A comparative analysis of Constant-Q Transform, gammatonegram, and Mel-spectrogram techniques for AI-aided cardiac diagnostics.

Medical engineering & physics Feb 6, 2025
Cardiovascular diseases (CVDs) are the leading global cause of death, which requires the early and accurate detection of cardiac abnormalities. Abnormal heart sounds, indicative of potential cardiac problems, pose a challenge due to their low-frequen...
Heart Sounds Humans Phonocardiography Neural Networks, Computer Diagnosis, Computer-Assisted Artificial Intelligence Deep Learning Signal Processing, Computer-Assisted
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A deep ensemble learning framework for glioma segmentation and grading prediction.

Scientific reports Feb 6, 2025
The segmentation and risk grade prediction of gliomas based on preoperative multimodal magnetic resonance imaging (MRI) are crucial tasks in computer-aided diagnosis. Due to the significant heterogeneity between and within tumors, existing methods ma...
Glioma Magnetic Resonance Imaging Neoplasm Grading Ensemble Learning Diagnosis, Computer-Assisted Humans Deep Learning Brain Neoplasms Image Processing, Computer-Assisted
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Breast cancer classification based on hybrid CNN with LSTM model.

Scientific reports Feb 5, 2025
Breast cancer (BC) is a global problem, largely due to a shortage of knowledge and early detection. The speed-up process of detection and classification is crucial for effective cancer treatment. Medical image analysis methods and computer-aided diag...
Neural Networks, Computer Algorithms Female Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Humans Mammography
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network.

Scientific reports Feb 4, 2025
Accurate and precise identification of cholelithiasis is essential for saving the lives of millions of people worldwide. Although several computer-aided cholelithiasis diagnosis approaches have been introduced in the literature, their use is limited ...
Convolutional Neural Networks Ultrasonography Cholelithiasis Algorithms Diagnosis, Computer-Assisted Humans Neural Networks, Computer
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Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images.

Scientific reports Feb 4, 2025
Colorectal cancer (CRC) is the second popular cancer in females and third in males, with an increased number of cases. Pathology diagnoses complemented with predictive and prognostic biomarker information is the first step for personalized treatment....
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Male Diagnosis, Computer-Assisted Deep Learning Humans Artificial Intelligence Machine Learning Algorithms Female Colorectal Neoplasms
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Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems.

Endoscopy Jan 30, 2025
BACKGROUND:  Artificial intelligence (AI) systems in endoscopy are predominantly developed and tested using high-quality imagery from expert centers. However, their performance may be different when applied in clinical practice, partly due to the div...
Colonic Polyps Barrett Esophagus Image Enhancement Humans Artificial Intelligence Sensitivity and Specificity Colorectal Neoplasms Colonoscopy Diagnosis, Computer-Assisted
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Deep Learning-Assisted Computer-Aided Diagnosis System for Early Detection of Lung Cancer.

Journal of clinical ultrasound : JCU Jan 29, 2025
PURPOSE: The largest cause of cancer-related fatalities worldwide is lung cancer. The dimensions and positioning of the primary tumor, the presence of lesions, the type of lung cancer like malignant or benign, and the good mental health diagnosis all...
Humans Neural Networks, Computer Algorithms Deep Learning Sensitivity and Specificity Lung Neoplasms Lung Early Detection of Cancer Diagnosis, Computer-Assisted
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SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification.

Computer methods and programs in biomedicine Jan 27, 2025
BACKGROUND AND OBJECTIVE: Pathology image classification is crucial in clinical cancer diagnosis and computer-aided diagnosis. Whole Slide Image (WSI) classification is often framed as a multiple instance learning (MIL) problem due to the high cost o...
Image Processing, Computer-Assisted Algorithms Humans Neoplasms Supervised Machine Learning Machine Learning Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted
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